6 citations · 17 across the 8 of their papers we have counts for
8 papers
Fluid-Limits of Fragmented Limit-Order Markets
Johannes Muhle-Karbe, Eyal Neuman, Yonatan Shadmi
Maglaras, Moallemi, and Zheng (2021) have introduced a flexible queueing model for fragmented limit-order markets, whose fluid limit remains remarkably tractable. In the present st…
Insight from the Kullback--Leibler divergence into adaptive importance sampling schemes for rare event analysis in high dimension
Jason Beh, Yonatan Shadmi, Florian Simatos
We study two adaptive importance sampling schemes for estimating the probability of a rare event in the high-dimensional regime with the dimension. The first sch…
Scheduling in the high uncertainty heavy traffic regime
Rami Atar, Eyal Castiel, Yonatan Shadmi
We propose a model uncertainty approach to heavy traffic asymptotics that allows for a high level of uncertainty. That is, the uncertainty classes of underlying distributions accom…
Simple Majority Consensus in Networks with Unreliable Communication
Ran Tamir, Ariel Livshits, Yonatan Shadmi
In this work, we analyze the performance of a simple majority-rule protocol solving a fundamental coordination problem in distributed systems - \emph{binary majority consensus}, in…
Fluid Limits for Shortest Job First with Aging
Yonatan Shadmi
We investigate fluid scaling of single server queueing systems under the shortest job first with aging (SJFA) scheduling policy. We use the measure-valued Skorokhod map to characte…
Fluid limits for earliest-deadline-first networks
Rami Atar, Yonatan Shadmi
This paper analyzes fluid scale asymptotics of two models of generalized Jackson networks employing the earliest deadline first (EDF) policy. One applies the 'soft' EDF policy, whe…
Sparse Non-Negative Recovery from Biased Subgaussian Measurements using NNLS
Yonatan Shadmi, Peter Jung, Giuseppe Caire
We investigate non-negative least squares (NNLS) for the recovery of sparse non-negative vectors from noisy linear and biased measurements. We build upon recent results from [1] sh…
Truncated Polynomial Expansion Downlink Precoders and Uplink Detectors for Massive MIMO
Andreas Benzin, Giuseppe Caire, Yonatan Shadmi +1
In TDD reciprocity-based massive MIMO it is essential to be able to compute the downlink precoding matrix over all OFDM resource blocks within a small fraction of the uplink-downli…